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Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. REQUIRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field.
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PhD degree in computational biology, bioinformatics, or a related field. Lead and contribute to the design and execution of bioinformatics pipelines for the analysis of NGS data, with a specific emphasis on RNseq datasets.
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Currently enrolled in university, pursuing PhD in Computational Biology, Bioinformatics, Statistical Genetics or related field. Experience processing and analyzing imaging data, single cell RNseq, CRISPR screens or other similar NGS/genomic data.
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Illumina library preparation, QC (Bioanalyzer, qPCR), and NGS sequencing. PhD, MS with 3 years of experience, or BA/BS with 5 years of experience in Chemistry, Biochemistry, Molecular Biology or Genetics.
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Working knowledge of Next-Generation Sequencing (NGS), tissue culture, and molecular biology is preferred. To be considered for this role, you must have a Master's or PhD in General Molecular Biology or a related field.
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Currently pursuing a Master’s or PhD degree in computational biology, genome biology, human genetics, biostatistics, computer science, or related fields. Hands-on experience with NGS data analysis and at least one general purpose data science language (R, Python, etc.
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PhD in life sciences or related field preferred, with 1-2 years of diagnostic experience in clinical diagnostic companies/laboratories, along with prior experience in diagnostic assay development, on-market product launches, and performance surveillance.
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Contribute novel and practical ideas to ICR’s AAV-mediated gene therapy research program, including applications involving AAV-CRISPR technologies and NGS technology platforms. A PhD or another advanced degree in biomedical science with several years of experience in gene therapy research and applications.
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PhD and/or 4+ years of equivalent experience in computational biology, bioinformatics, genomics, systems/synthetic biology, protein engineering, or a similar field working with biological sequences or systems; wet lab experience is a plus.
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PhD in a relevant domain [Computational Biology, Computer Science, Statistics, Bioengineering, Bioinformatics, or similar] with 10+ years of industry experience preferred. Experience with data from phage display, NGS, and immunological or protein biophysical assays (e.g. BLI or SPR, thermostability, SEC, etc.
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The successful candidate will play a pivotal role in advancing their immunotherapy and infectious diseases programs by leading bioinformatics analyses, particularly focused on omics datasets and Next-Generation Sequencing (NGS) data.
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PhD degree in molecular biology, immunology, biochemistry, cell biology, neuroscience, developmental biology, bioengineering,or related field with 2-5 years of industrial experience. Preferably, knowledge and experience in bioinformatics and NGS data analysis, including running NGS pipelines and conducting data analysis in R, Python, or Matlab.
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A PhD and 3+ years post-PhD experience in bioinformatics, computational biology, and data science. Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq.
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Master's Degree or PhD in relevant Life Science field (biology, biochemistry, chemistry) Applications experience within NGS, qPCR, molecular profiling, etc. This position is part of the Sales Team located in the United States of America and will be fully remote.
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NGS Expertise: In-depth experience with next-generation sequencing data analysis and interpretation. Educational Background: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field.
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